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I have a neural network and want to get the Jacobian matrix of its outputs wrt. its parameters. Here is my code
``` lua
jac = nn.Jacobian
para, dpara = uModel:getParameters()
uJacobian = jac.backward…
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### Idea Contribution
- [X] I have read all the feature request issues.
- [X] I'm interested in working on this issue
- [X] I'm part of GSSOC organization
### Explain feature request
This tutorial …
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Hi! Great work!
I have a question about the default value of the lambda params. I've noticed that they are initialized to zero by default:
`lambda_1_layer = torch.nn.Parameter(torch.tensor(0.0, dev…
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I am referring to your exercise 4 code right now to complete mine. I think you've made a mistake on regularizing the NN backpropagation gradient (if I am wrong, pardon me). This is the equation:
…
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grad_model_2_output = (grad_bn_11_input_0_list_2[0].to(device)
+ grad_bn_11_input_1_list_2[0].to(device).unsqueeze(1) / (batchsize * height * width)
…
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Hi, thanks for your help so far! I have noticed that the mask embedding, which is computed at the first deformation loop
https://github.com/facebookresearch/Active-3D-Vision-and-Touch/blob/c10da8f944…
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Issue is somewhere with the feedforward in neural_network.cpp line 87. After this call, the "ff" may contain nan/-nan.
Update: It seems like the last layer is making the values go nuts.
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作者您好,感谢您的剪枝工作,目前我想用您的库对我在huggingface上的detr模型的backbone部分进行剪枝,出现了这样的错误
我的模型原来是通过`DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50", ignore_mismatched_sizes=True)`,然后得到他具体的backbone部分,其网络结…
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Excuse , I have a question, when I run it, I faced a problem like this:
"**RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.F…
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### Summary
I wanted to ask about a technical aspect of DeePMD. Is there a way by which I can load DPs as TF models and perform backprop externally, like on a jupyter notebook. I am able to use DPs i…